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ISCAS
2002
IEEE
109views Hardware» more  ISCAS 2002»
14 years 16 days ago
State space blind source recovery for mixtures of multiple source distributions
The paper discusses State Space Blind Source Recovery (BSR) for minimum phase and non-minimum phase mixtures of gaussian and non-gaussian distributions. The State Space Natural Gr...
Khurram Waheed, Fathi M. Salam
ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
14 years 1 months ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata
ESANN
2004
13 years 9 months ago
Lattice ICA for the separation of speech signals
This work explains a method for blind separation of a linear mixture of sources, through geometrical considerations concerning the scatter plot. This method is applied to a mixture...
Manuel Rodríguez Álvarez, Fernando R...
ICASSP
2008
IEEE
14 years 2 months ago
Blind separation of non-negative sources by convex analysis: Effective method using linear programming
We recently reported a criterion for blind separation of non-negative sources, using a new concept called convex analysis for mixtures of non-negative sources (CAMNS). Under some ...
Tsung-Han Chan, Wing-Kin Ma, Chong-Yung Chi, Yue W...
PAMI
2010
168views more  PAMI 2010»
13 years 6 months ago
Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization
—Although significant efforts have been made in developing nonnegative blind source separation techniques, accurate separation of positive yet dependent sources remains a challen...
Fa-Yu Wang, Chong-Yung Chi, Tsung-Han Chan, Yue Wa...